title: An automatic brain tumor segmentation tool.
abstract: This paper introduces an automatic brain tumor segmentation method (ABTS) for segmenting multiple components of brain tumor using four magnetic resonance image modalities. ABTS's four stages involve automatic histogram multi-thresholding and morphological operations including geodesic dilation. Our empirical results, on 16 real tumors, show that ABTS works very effectively, achieving a Dice accuracy compared to expert segmentation of 81% in segmenting edema and 85% in segmenting gross tumor volume (GTV).
authors.forename: Idanis
authors.initials: I
authors.lastname: Diaz
authors.forename: Pierre
authors.initials: P
authors.lastname: Boulanger
authors.forename: Russell
authors.initials: R
authors.lastname: Greiner
authors.forename: Bret
authors.initials: B
authors.lastname: Hoehn
authors.forename: Lindsay
authors.initials: L
authors.lastname: Rowe
authors.forename: Albert
authors.initials: A
authors.lastname: Murtha
mesh_terms: D000465:Algorithms; D001331:Automation; D001929:Brain Edema / Q000473:pathology; D001932:Brain Neoplasms / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D012815:Signal Processing, Computer-Assisted; D047368:Tumor Burden